A novel stepwise thresholding for fuzzy image segmentation
HE Xiao-hai
LUO Dai-sheng
WU Xiao-qiang
JIANG Li
TENG Qi-zhi
TAO De-yuan
摘要：A novel stepwise thresholding method for fuzzy image segmentation is proposed. Unlike the published iterative or recursive thresholding mehtods, this method segments regions into sub-regions iteratively by increasing threshold value in a stepwise manner, based on a preset intensity homogeneity criteria. The method is particularly suited to segmentation of the laser scanning confocal microscopy (LSCM) images, computerised tomography (CT) images, magnetic resonance (MR) images, fingerprint images, etc. The method has been tested on some typical fuzzy image data sets. In this paper, the novel stepwise thresholding is first addressed. Next a new method of region labelling for region extraction is introduced.Then the design of intensity homogeneity segmentation criteria is presented. Some examples of the experiment results of fuzzy image segmentation by the method are given at the end.
机标关键词：intensity homogeneityimage segmentationfuzzy imageconfocal microscopyregion labellingthreshold valuelaser scanningmethod of
分类号：R318(医用一般科学)
论文发表日期：2001-01-01
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：12( 1-12 )
英文信息